Now in its second edition, this is your essential guide to building robust network automation workflows across modern hybrid ...

This book provides a thorough introduction to Python, starting with basic operations like arithmetic and variable creation.

Abstract: This innovative practice full paper describes the exploration of the transformative potential of Generative Artificial Intelligence (AI) and Large Language Models (LLMs) in Python ...

Abstract: In recent years, the advantages of Graph Neural Networks (GNNs) in solving complex combinatorial optimization problems have become more and more obvious. Under this background, this paper ...

Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...